代码搜索：Generates
找到约 10,000 项符合「Generates」的源代码
代码结果 10,000
www.eeworm.com/read/255407/6291015
c alg38.c
#include
#include
#include
/* generates:
original element sequence:
0 1 1 2 3 5 8 13 21 34
sequence after applying remove_if < 10:
13 21 34
www.eeworm.com/read/255407/6291017
c alg45.c
#include
#include
#include
/* generates:
original element sequence:
29 23 20 22 17 15 26 51 19 12 35 40
stable_partition on even element:
20 22
www.eeworm.com/read/255407/6291048
c alg32.c
#include
#include
#include
#include
/*
* generates:
original array values: 3 5 8 13 21
transform each element by doubling: 6 10 16 26 42
tr
www.eeworm.com/read/488466/6487396
m bdt_f527.m
% MATLAB script that generates the probability of error versus the signal-to-noise ratio
initial_snr=0;
final_snr=15;
snr_step=1;
tolerance=1e-7; % tolerance used for the integration
min
www.eeworm.com/read/485392/6561039
m gaussn.m
function g = gaussn(f0,n)
% function gn = gaussn(f0,n) : generates the order n derivative of the
% gaussian window, centered at frequency f0
% The wavelet gn is real, but it is its analytic form
www.eeworm.com/read/483253/6601721
m histndim.m
function [v,t]=histndim(x,b,mode)
%HISTNDIM - generates and/or plots an n-dimensional histogram
%
% Inputs: X(m,d) is the input data: each row is one d-dimensiona data point
% B(3,d)
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m gsm_mod.m
function [ tx_burst , I , Q ] = gsm_mod(Tb,OSR,BT,tx_data,TRAINING)
% GSM_MOD: This MatLab code generates a GSM normal burst by
% combining tail, ctrl, and training sequence bits with
%
www.eeworm.com/read/481066/6657302
m donuts.m
function S = donuts;
%
% Ph.D. Thesis
% Leandro Nunes de Castro
% February, 2000
% Function generates the dataset for the 2-DONUTS problem
%
% DONUT 1
step = 0.2;
t = 0:step:4*pi;
l = le
www.eeworm.com/read/479405/6694482
m gmp1.m
% gmp1.m
% Scope: This MATLAB macro generates first order Gauss-Markov sequence.
% Usage: x = gmp1(nstep,beta,sigx,deltat,iseed)
% x = gmp1(nstep,beta
www.eeworm.com/read/479405/6694569
m gmp2.m
% gmp2.m
% Scope: This MATLAB macro generates second order Gauss-Markov sequence.
% Usage: [xp,xv] = gmp2(nstep,w0,beta,csq,deltat,iseed)
% [xp,xv] =